Sparsity and Balance

Vitaliy delves into the complexities of weight and activation sparsity in machine learning systems, highlighting the challenges of load balancing training effectively and redistributing kernels during runtime. The discussion sheds light on the nuances of system compilation and the implications for targeting different types of sparsity in matrix operations.